{"id":"W4405860008","doi":"10.5376/cmb.2024.14.0022","title":"Protein-Protein Interaction Networks in Rice under Drought Stress: Insights from Proteomics and Bioinformatics Analysis","year":2024,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proteomics; Drought stress; Computational biology; Bioinformatics; Protein Interaction Networks; Biology; Computer science; Protein–protein interaction; Genetics; Botany; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003831133,0.0001608261,0.0001916091,0.0001895372,0.00005608287,0.00006557321,0.0001218142,0.0001834163,0.00002706667],"category_scores_gemma":[0.00001558896,0.0001567523,0.00007022914,0.0004632836,0.00007512349,0.0001003475,0.00009683197,0.0002994263,0.000005656552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000086847,"about_ca_system_score_gemma":0.00003847345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000690226,"about_ca_topic_score_gemma":0.00001725164,"domain_scores_codex":[0.9990778,0.00002858137,0.0003414763,0.000335923,0.00007132701,0.0001449179],"domain_scores_gemma":[0.9995521,0.00007912741,0.0001007058,0.0001705883,0.00005173413,0.00004578813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004840472,0.0001088876,0.000325841,0.000160189,0.0005778285,0.00002310097,0.0002063544,0.2636009,0.4386153,0.291689,0.000007609441,0.004636533],"study_design_scores_gemma":[0.0001363684,0.00001583707,0.00009155022,0.00009192853,0.00004966194,0.000002875953,0.00004683423,0.6231946,0.02291832,0.3531619,0.0001115567,0.0001786097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3548188,0.000437378,0.6440599,0.0001458524,0.00001153981,0.0002274236,0.00004432325,0.00007619103,0.0001785467],"genre_scores_gemma":[0.7843425,0.0000120353,0.2143919,0.00006472624,0.00003563769,0.0002623247,0.0008592485,0.00001406961,0.00001755589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.429668,"threshold_uncertainty_score":0.6392174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007986623571956113,"score_gpt":0.2825331537579408,"score_spread":0.2745465301859847,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}